AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot
Semantic Segmentation
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot
Semantic Segmentation
Few-shot learning aims to recognize novel concepts by leveraging prior knowledge learned from a few samples. However, for visually intensive tasks such as few-shot semantic segmentation, pixel-level annotations are time-consuming and costly. Therefore, in this paper, we utilize the more challenging image-level annotations and propose an adaptive frequency-aware network (AFANet) …